Quantum computing combines great promise with daunting challenges — the road to devices that solve real-world problems is still long. Now, an implementation of a quantum algorithm maps the problems we want to solve to the devices we already have.
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(Top, left to right) Granger Historical Picture Archive/Alamy Stock Photo; reproduced with permission from ref. 5, Wiley; National Archives; Carlos Jones/ORNL under a Creative Commons licence (https://creativecommons.org/licenses/by/2.0/); (bottom left) adapted with permission from ref. 6, Springer Nature Ltd; (bottom right) adapted with permission from ref. 7, Springer Nature Ltd
References
Harrigan, M. P. et al. Nat. Phys. https://doi.org/10.1038/s41567-020-01105-y (2021).
Preskill, J. Quantum 2, 79 (2018).
Farhi, E., Goldstone, J. & Gutmann, S. Preprint at https://arxiv.org/abs/1411.4028 (2014).
Shor, P. W. SIAM Rev. 41, 303–332 (1999).
Turing, A. M. Proc. Lond. Math. Soc. s2-42, 230–265 (1937).
Nakamura, Y., Pashkin, Y. & Tsai, J. Nature 398, 786–788 (1999).
Arute, F. et al. Nature 574, 505–510 (2019).
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Barak, B. Work with what you’ve got. Nat. Phys. 17, 295–296 (2021). https://doi.org/10.1038/s41567-020-01126-7
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DOI: https://doi.org/10.1038/s41567-020-01126-7
